RussellSpitzer commented on code in PR #15070:
URL: https://github.com/apache/iceberg/pull/15070#discussion_r2892203642
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spark/v4.1/spark/src/test/java/org/apache/iceberg/spark/sql/TestAggregatePushDown.java:
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@@ -766,6 +766,53 @@ public void testNaN() {
assertEquals("expected and actual should equal", expected, actual);
}
+ @TestTemplate
+ public void testNanWithLowerAndUpperBoundMetrics() {
+ sql("CREATE TABLE %s (id int, data float) USING iceberg PARTITIONED BY
(id)", tableName);
+ sql(
+ "INSERT INTO %s VALUES (1, float('nan')),"
+ + "(1, float('nan')), "
+ + "(1, 10.0), "
+ + "(2, 2), "
+ + "(2, float('nan')), "
+ + "(3, float('nan')), "
+ + "(3, 1)",
+ tableName);
+
+ // Validate all files has upper bound, lower bound and nan count
+ String countsQuery =
+ "select readable_metrics.data.nan_value_count > 0, "
+ + "isnull(readable_metrics.data.lower_bound), "
+ + "isnull(readable_metrics.data.upper_bound) "
+ + "from %s.files";
+
+ Object[] expectedResult = new Object[] {true, false, false};
+ assertThat(sql(countsQuery, tableName))
+ .as("Data files should contain nan count, lower bound and upper
bound.")
+ .allMatch(row -> Arrays.equals(row, expectedResult));
+
+ // Check aggregates are not pushdown
Review Comment:
nit: pushed down
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